Eliminating Temporal Illumination Variations in Whisk-broom Hyperspectral Imaging

We propose a method for eliminating the temporal illumination variations in whisk-broom (point-scan) hyperspectral imaging. Whisk-broom scanning is useful for acquiring a spatial measurement using a pixel-based hyperspectral sensor. However, when it is applied to outdoor cultural heritages, temporal...

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Published in:International journal of computer vision Vol. 130; no. 5; pp. 1310 - 1324
Main Authors: Funatomi, Takuya, Ogawa, Takehiro, Tanaka, Kenichiro, Kubo, Hiroyuki, Caron, Guillaume, Mouaddib, El Mustapha, Matsushita, Yasuyuki, Mukaigawa, Yasuhiro
Format: Journal Article
Language:English
Published: New York Springer US 01.05.2022
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ISSN:0920-5691, 1573-1405
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Abstract We propose a method for eliminating the temporal illumination variations in whisk-broom (point-scan) hyperspectral imaging. Whisk-broom scanning is useful for acquiring a spatial measurement using a pixel-based hyperspectral sensor. However, when it is applied to outdoor cultural heritages, temporal illumination variations become an issue due to the lengthy measurement time. As a result, the incoming illumination spectra vary across the measured image locations because different locations are measured at different times. To overcome this problem, in addition to the standard raster scan, we propose an additional perpendicular scan that traverses the raster scan. We show that this additional scan allows us to infer the illumination variations over the raster scan. Furthermore, the sparse structure in the illumination spectrum is exploited to robustly eliminate these variations. We quantitatively show that a hyperspectral image captured under sunlight is indeed affected by temporal illumination variations, that a Naïve mitigation method suffers from severe artifacts, and that the proposed method can robustly eliminate the illumination variations. Finally, we demonstrate the usefulness of the proposed method by capturing historic stained-glass windows of a French cathedral.
AbstractList We propose a method for eliminating the temporal illumination variations in whisk-broom (point-scan) hyperspectral imaging. Whisk-broom scanning is useful for acquiring a spatial measurement using a pixel-based hyperspectral sensor. However, when it is applied to outdoor cultural heritages, temporal illumination variations become an issue due to the lengthy measurement time. As a result, the incoming illumination spectra vary across the measured image locations because different locations are measured at different times. To overcome this problem, in addition to the standard raster scan, we propose an additional perpendicular scan that traverses the raster scan. We show that this additional scan allows us to infer the illumination variations over the raster scan. Furthermore, the sparse structure in the illumination spectrum is exploited to robustly eliminate these variations. We quantitatively show that a hyperspectral image captured under sunlight is indeed affected by temporal illumination variations, that a Naïve mitigation method suffers from severe artifacts, and that the proposed method can robustly eliminate the illumination variations. Finally, we demonstrate the usefulness of the proposed method by capturing historic stained-glass windows of a French cathedral.
Audience Academic
Author Caron, Guillaume
Tanaka, Kenichiro
Mukaigawa, Yasuhiro
Kubo, Hiroyuki
Mouaddib, El Mustapha
Funatomi, Takuya
Ogawa, Takehiro
Matsushita, Yasuyuki
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  givenname: Takuya
  orcidid: 0000-0001-5588-5932
  surname: Funatomi
  fullname: Funatomi, Takuya
  email: funatomi@is.naist.jp
  organization: Graduate School of Science and Technology, Nara Institute of Science and Technology
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  givenname: Takehiro
  surname: Ogawa
  fullname: Ogawa, Takehiro
  organization: Graduate School of Science and Technology, Nara Institute of Science and Technology
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  givenname: Kenichiro
  orcidid: 0000-0003-2318-2276
  surname: Tanaka
  fullname: Tanaka, Kenichiro
  organization: College of Information Science and Engineering, Ritsumeikan University
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  givenname: Hiroyuki
  surname: Kubo
  fullname: Kubo, Hiroyuki
  organization: Graduate School of Science and Engineering, Chiba University
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  givenname: Guillaume
  surname: Caron
  fullname: Caron, Guillaume
  organization: MIS Laboratory, University of Picardie Jules Verne, CNRS-AIST JRL, IRL
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  givenname: El Mustapha
  surname: Mouaddib
  fullname: Mouaddib, El Mustapha
  organization: MIS Laboratory, University of Picardie Jules Verne
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  givenname: Yasuyuki
  surname: Matsushita
  fullname: Matsushita, Yasuyuki
  organization: Graduate School of Information Science and Technology, Osaka University
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  givenname: Yasuhiro
  surname: Mukaigawa
  fullname: Mukaigawa, Yasuhiro
  organization: Graduate School of Science and Technology, Nara Institute of Science and Technology
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Snippet We propose a method for eliminating the temporal illumination variations in whisk-broom (point-scan) hyperspectral imaging. Whisk-broom scanning is useful for...
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SubjectTerms Artificial Intelligence
Cathedrals
Computer Imaging
Computer Science
Computer Vision and Pattern Recognition
Hyperspectral imaging
Illumination
Image Processing and Computer Vision
Infrared radiation
Pattern Recognition
Pattern Recognition and Graphics
Raster
Raster scanning
Scanning devices
Sensors
Special Issue on Computer Vision for Cultural Heritage
Vision
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Title Eliminating Temporal Illumination Variations in Whisk-broom Hyperspectral Imaging
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